Lithium-Ion Battery Capacity Prediction Using Recursive Least Squares with Forgetting Factor
Authors
Z.W. Zhou, Y.D. Lu, Y. Huang, Z.Y. Shi, X. Li
Corresponding Author
Z.W. Zhou
Available Online July 2015.
- DOI
- 10.2991/eame-15.2015.159How to use a DOI?
- Keywords
- lithium-ion battery; capacity prediction; recursive least squares with forgetting factor; linear degradation model
- Abstract
How to predict capacity for lithium-ion battery is one of the most important problems in the field of battery health management. To make the newest data more efficiently, this paper proposes recursive least squares with forgetting factor to estimate the coefficients of the linear capacity degradation model, and presents the adaptive capacity prediction based on the estimation result. The experiment example demonstrates the effectiveness of the proposed approach
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Z.W. Zhou AU - Y.D. Lu AU - Y. Huang AU - Z.Y. Shi AU - X. Li PY - 2015/07 DA - 2015/07 TI - Lithium-Ion Battery Capacity Prediction Using Recursive Least Squares with Forgetting Factor BT - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering PB - Atlantis Press SP - 569 EP - 572 SN - 2352-5401 UR - https://doi.org/10.2991/eame-15.2015.159 DO - 10.2991/eame-15.2015.159 ID - Zhou2015/07 ER -